Skip to main content

Financial INvesting Strategy Assessment with Bias mitigation, Expanded time, and Range of symbols (FINSABER)

Project description

FINSABER

Arxiv link

FINSABER is a comprehensive framework for evaluating trading strategies with a specific focus on comparing traditional technical analysis approaches with modern machine learning and large language model (LLM) based strategies.

Citation

@misc{li2025llmbasedfinancialinvestingstrategies,
      title={Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?}, 
      author={Weixian Waylon Li and Hyeonjun Kim and Mihai Cucuringu and Tiejun Ma},
      year={2025},
      eprint={2505.07078},
      archivePrefix={arXiv},
      primaryClass={q-fin.TR},
      url={https://arxiv.org/abs/2505.07078}, 
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

finsaber-0.1.2.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

finsaber-0.1.2-py3-none-any.whl (3.4 kB view details)

Uploaded Python 3

File details

Details for the file finsaber-0.1.2.tar.gz.

File metadata

  • Download URL: finsaber-0.1.2.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.14

File hashes

Hashes for finsaber-0.1.2.tar.gz
Algorithm Hash digest
SHA256 0a40ecb117ce839339d62db11edd0bcc675b61fde4e1d73da1653708b53fcc62
MD5 1e95fc949b34476ff1b24be71d646e20
BLAKE2b-256 81640d5c81f6deaabe4b056a839ffe484ffaf2f775ec2cf24f81f23bae873a3f

See more details on using hashes here.

File details

Details for the file finsaber-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: finsaber-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 3.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.14

File hashes

Hashes for finsaber-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 46b18036bd2bd8c2a8811f0884aa16611ecc46f48a98229392fcdbc1ddfc67b6
MD5 8bf9ba898ef92e3ec09ca100dda7bb53
BLAKE2b-256 f2e48ff992ceb9e871fa5fc808c6cf2525e1b63b192ff7dd2b4333366027c01c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page